Drug repositioning for immunotherapy in breast cancer using single-cell analysis

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Elyas Mohammadi, Samira Dashti, Neda Shafizade, Han Jin, Cheng Zhang, Simon Lam, Mojtaba Tahmoorespur, Adil Mardinoglu, Mohammad Hadi Sekhavati
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Abstract

Immunomodulatory peptides, while exhibiting potential antimicrobial, antifungal, and/or antiviral properties, can play a role in stimulating or suppressing the immune system, especially in pathological conditions like breast cancer (BC). Thus, deregulation of these peptides may serve as an immunotherapeutic strategy to enhance the immune response. In this meta-analysis, we utilized single-cell RNA sequencing data and known therapeutic peptides to investigate the deregulation of these peptides in malignant versus normal human breast epithelial cells. We corroborated our findings at the chromatin level using ATAC-seq. Additionally, we assessed the protein levels in various BC cell lines. Moreover, our in-house drug repositioning approach was employed to identify potential drugs that could positively impact the relapse-free survival of BC patients. Considering significantly deregulated therapeutic peptides and their role in BC pathology, our approach aims to downregulate B2M and SLPI, while upregulating PIGR, DEFB1, LTF, CLU, S100A7, and SCGB2A1 in BC epithelial cells through our drug repositioning pipeline. Leveraging the LINCS L1000 database, we propose BRD-A06641369 for B2M downregulation and ST-4070043 and BRD-K97926541 for SLPI downregulation without negatively affecting the MHC complex as a significantly correlated pathway with these two genes. Furthermore, we have compiled a comprehensive list of drugs for the upregulation of other selected immunomodulatory peptides. Employing an immunotherapeutic approach by integrating our drug repositioning pipeline with single-cell analysis, we proposed potential drugs and drug targets to fortify the immune system against BC.

Abstract Image

利用单细胞分析为乳腺癌免疫疗法重新定位药物
免疫调节肽具有潜在的抗菌、抗真菌和/或抗病毒特性,可在刺激或抑制免疫系统方面发挥作用,尤其是在乳腺癌(BC)等病理情况下。因此,解除对这些肽的调控可作为增强免疫反应的一种免疫治疗策略。在这项荟萃分析中,我们利用单细胞 RNA 测序数据和已知的治疗肽来研究这些肽在恶性与正常人类乳腺上皮细胞中的失调情况。我们利用 ATAC-seq 在染色质水平上证实了我们的发现。此外,我们还评估了各种 BC 细胞系中的蛋白质水平。此外,我们还采用了内部药物重新定位方法,以确定可对乳腺癌患者无复发生存期产生积极影响的潜在药物。考虑到明显失调的治疗肽及其在BC病理学中的作用,我们的方法旨在通过药物重新定位管道下调B2M和SLPI,同时上调BC上皮细胞中的PIGR、DEFB1、LTF、CLU、S100A7和SCGB2A1。利用 LINCS L1000 数据库,我们提出了 BRD-A06641369 用于 B2M 下调,ST-4070043 和 BRD-K97926541 用于 SLPI 下调,而不会对 MHC 复合物产生负面影响,这两个基因是与这两个基因显著相关的途径。此外,我们还编制了一份全面的药物清单,用于上调其他选定的免疫调节肽。通过将药物重新定位管道与单细胞分析相结合的免疫治疗方法,我们提出了增强免疫系统抵抗 BC 的潜在药物和药物靶点。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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